## Troponin I; N = 167280; min = 0.0000; max = 1182.9400; mean = 1.0339; median = 0.0200; sd = 11.0724
Troponin I: distribution percentiles
percentiles
values
0%
0.000
10%
0.010
20%
0.015
30%
0.015
40%
0.017
50%
0.020
60%
0.030
70%
0.046
80%
0.097
90%
0.360
100%
1182.940
## Troponin T S/Pl; N = 166326; min = 0.0000; max = 68.3000; mean = 0.0805; median = 0.0100; sd = 0.6062
Troponin T S/Pl: distribution percentiles
percentiles
values
0%
0.00
10%
0.01
20%
0.01
30%
0.01
40%
0.01
50%
0.01
60%
0.01
70%
0.02
80%
0.02
90%
0.08
100%
68.30
Remove extreme and likely non-healthy or spurious values.
Although exclusion criteria are designed to filter for healthy
patients with normal physiological lab values, removing extreme values
can further filter to the same purpose.
Labs: (Troponin I, Troponin T S/Pl) cohort, pre-exclusion, Gender
distribution
Gender
n_pt
Female
22005
Male
18124
Labs: (Troponin I, Troponin T S/Pl) cohort, Gender distribution
Gender
n_pt
Female
14284
Male
10037
Patient type
Note that patient type depends on the encounter, so a single patient
can be multiple patient types for different encounters.
Labs: (Troponin I, Troponin T S/Pl) cohort, Patient_type distribution
Patient_type
n_pt
Emergency
15289
Inpatient
5343
Observation
2019
Outpatient
714
Observation / Short stay / 24 hr stay
368
Non-Patient
146
Clinic
125
Laboratory
72
Not Mapped
69
Other Specialty
52
Unknown / Invalid
32
Community
25
Outpatient Surgery
20
HLA QC
18
Radiology
13
Day Surgery
6
Recurring
4
Urgent
4
Billing
1
Skilled Nursing Facility
1
Race
Labs: (Troponin I, Troponin T S/Pl) cohort, Race distribution
Race
n_pt
Caucasian
18042
African American
4437
Other
733
Unknown
367
Asian
249
Native American
246
Hispanic
113
Asian/Pacific Islander
40
Biracial
32
NULL
27
Pacific Islander
21
Not Mapped
14
Age distribution
## [1] "Age_mid_year: N = 24321; min = 1.0; max = 90.6; mean = 62.2; median = 63.1; sd = 18.1"
Labs: (Troponin I, Troponin T S/Pl) cohort, Age_mid_year: distribution
percentiles
percentiles
values
0%
1.0
10%
36.6
20%
46.2
30%
53.0
40%
58.2
50%
63.1
60%
68.7
70%
74.0
80%
79.5
90%
86.0
100%
90.6
Stratified statistics and distributions
Initially, for sex and age-group. First merge lab value table[s] with
stratification variables. Most common unit of measurement preferred, and
if sufficient, others ignored.